% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 27585 % Primary Name: FRANKSTON 3 WNW % Record Type: TAVG % Country: United States % State: TX % Latitude: 32.06670 +/- 0.00005 % Longitude: -95.55000 +/- 0.00005 % Elevation (m): 131.10 +/- 0.05 % # of Months: 35 % % Alternate Names: FRANKSTON % FRANKSTON 2 SW % FRANKSTON 3 SW % % IDs: coop - 413325 % ghcnd - USC00413325 % ncdc - 20025235 % ncdc - 20025247 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 5c468b693fb295b3a63c1ddfa66e6cf4 % Raw Data Hash: 3edea12f4e6a2f99d2de288c785aaba9 % Adj Data Hash: 26e8fe5a39d1e78e33e051f125744158 % % The data for this station is presented below in several columns and in % several forms. The temperature values are reported as "raw", % "adjusted", and "regional expectation". % % The "raw" values reflect the observations as originally ingested by % the Berkeley Earth system from one or more originating archive(s). % These "raw" values may reflect the merger of more than one temperature % time series if multiple archives reported values for this location. % Alongside the raw data we have also provided a flag indicating which % values failed initial quality control checks. A further column % dates at which the raw data may be subject to continuity "breaks" % due to documented station moves (denoted "1"), prolonged measurement % gaps (denoted "2"), documented time of observation changes (denoted "3") % and other empirically determined inhomogeneities (denoted "4"). % % In many cases, raw temperature data contains a number of artifacts, % caused by issues such as typographical errors, instrumentation changes, % station moves, and urban or agricultural development near the station. % The Berkeley Earth analysis process attempts to identify and estimate % the impact of various kinds of data quality problems by comparing each % time series to neighboring series. At the end of the analysis process, % the "adjusted" data is created as an estimate of what the weather at % this location might have looked like after removing apparent biases. % This "adjusted" data will generally to be free from quality control % issues and be regionally homogeneous. Some users may find this % "adjusted" data that attempts to remove apparent biases more % suitable for their needs, while other users may prefer to work % with raw values. % % Lastly, we have provided a "regional expectation" time series, based % on the Berkeley Earth expected temperatures in the neighborhood of the % station. This incorporates information from as many weather stations as % are available for the local region surrounding this location. Note % that the regional expectation may be a systematically a bit warmer or % colder than the weather stations by a few degrees due to differences % in mean elevation and other local characteristics. % % For each temperature time series, we have also included an "anomaly" % time series that removes both the seasonality and the long-term mean. % These anomalies may provide an easier way of seeing changes through % time. % % Reported temperatures are in Celsius and reflect monthly averages. As % these files are intended to be summaries for convenience, additional % information, including more detailed flagging and metadata, may be % available in our whole data set files. % % The Berkeley Earth analysis was run on 15-Nov-2013 19:55:48 % % Raw Data QC Continuity Adjusted Data Regional Expectation % Year, Month, Temperature, Anomaly, Failed, Breaks, Temperature, Anomaly, Temperature, Anomaly 1962 12 NaN NaN NaN NaN NaN NaN 9.950 -0.200 1963 1 NaN NaN NaN NaN NaN NaN 4.663 -3.854 1963 2 NaN NaN NaN NaN NaN NaN 9.204 -1.519 1963 3 NaN NaN NaN NaN NaN NaN 16.928 2.151 1963 4 NaN NaN NaN NaN NaN NaN 22.023 2.749 1963 5 NaN NaN NaN NaN NaN NaN 24.095 0.955 1963 6 NaN NaN NaN NaN NaN NaN 27.970 1.128 1963 7 NaN NaN NaN NaN NaN NaN 29.486 0.702 1963 8 NaN NaN NaN NaN NaN NaN 29.887 1.268 1963 9 NaN NaN NaN NaN NaN NaN 26.561 1.023 1963 10 NaN NaN NaN NaN NaN NaN 23.110 3.148 1963 11 NaN NaN NaN NaN NaN NaN 15.781 1.740 1963 12 3.230 -6.796 1 0 NaN NaN 6.202 -3.948 1964 1 8.111 -0.283 0 0 7.627 -0.767 8.352 -0.166 1964 2 7.389 -3.211 0 0 6.904 -3.695 7.759 -2.964 1964 3 15.556 0.903 0 0 15.071 0.418 14.226 -0.551 1964 4 21.944 2.795 0 0 21.460 2.310 20.628 1.355 1964 5 24.556 1.539 0 0 24.071 1.055 23.908 0.768 1964 6 26.889 0.170 0 0 26.404 -0.314 26.941 0.099 1964 7 29.556 0.895 0 0 29.071 0.411 29.362 0.578 1964 8 30.278 1.782 0 0 29.793 1.297 29.723 1.103 1964 9 25.667 0.252 0 0 25.182 -0.232 25.779 0.240 1964 10 19.056 -0.783 0 0 18.571 -1.267 18.618 -1.344 1964 11 19.343 5.425 1 0 NaN NaN 16.209 2.167 1964 12 11.944 1.918 0 1 11.990 1.963 10.853 0.703 1965 1 10.833 2.440 0 0 10.878 2.485 10.652 2.135 1965 2 9.889 -0.711 0 0 9.934 -0.665 9.173 -1.551 1965 3 11.222 -3.431 0 0 11.267 -3.386 10.943 -3.834 1965 4 20.667 1.517 0 0 20.712 1.562 21.336 2.063 1965 5 22.944 -0.072 0 0 22.990 -0.027 23.285 0.146 1965 6 25.778 -0.941 0 0 25.823 -0.896 26.621 -0.221 1965 7 28.500 -0.160 0 0 28.545 -0.115 28.780 -0.004 1965 8 27.556 -0.940 0 0 27.601 -0.895 28.178 -0.441 1965 9 25.611 0.197 0 0 25.656 0.242 26.165 0.626 1965 10 18.944 -0.894 0 1 19.311 -0.528 19.001 -0.960 1965 11 17.667 3.749 0 0 18.033 4.115 17.991 3.950 1965 12 11.444 1.418 0 0 11.811 1.784 12.005 1.855 1966 1 5.722 -2.672 0 0 6.088 -2.305 6.190 -2.328 1966 2 8.778 -1.822 0 0 9.144 -1.456 8.677 -2.046 1966 3 13.611 -1.042 0 0 13.977 -0.676 14.409 -0.367 1966 4 19.000 -0.150 0 0 19.366 0.216 19.488 0.214 1966 5 22.056 -0.961 0 0 22.422 -0.595 22.547 -0.593 1966 6 25.500 -1.219 0 0 25.866 -0.853 26.091 -0.752 1966 7 29.360 0.699 1 0 NaN NaN 29.236 0.452 1966 8 26.778 -1.718 0 0 27.144 -1.352 27.363 -1.256 1966 9 23.333 -2.081 0 0 23.699 -1.715 24.444 -1.094 1966 10 17.500 -2.338 0 0 17.866 -1.972 18.746 -1.216 1966 11 NaN NaN NaN NaN NaN NaN 16.661 2.620 1966 12 NaN NaN NaN NaN NaN NaN 9.810 -0.340 1967 1 NaN NaN NaN NaN NaN NaN 9.352 0.834 1967 2 NaN NaN NaN NaN NaN NaN 9.414 -1.309 1967 3 NaN NaN NaN NaN NaN NaN 17.946 3.170 1967 4 NaN NaN NaN NaN NaN NaN 22.674 3.401 1967 5 NaN NaN NaN NaN NaN NaN 22.206 -0.933 1967 6 NaN NaN NaN NaN NaN NaN 27.574 0.731 1967 7 NaN NaN NaN NaN NaN NaN 27.869 -0.915 1967 8 NaN NaN NaN NaN NaN NaN 27.813 -0.807 1967 9 NaN NaN NaN NaN NaN NaN 23.725 -1.813 1967 10 NaN NaN NaN NaN NaN NaN 19.369 -0.593